Biomass consumption and environmental footprints of beef cattle production in Argentina
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DOI: 10.1016/j.agsy.2020.102944
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References listed on IDEAS
- Bilotto, Franco & Recavarren, Paulo & Vibart, Ronaldo & Machado, Claudio F., 2019. "Backgrounding strategy effects on farm productivity, profitability and greenhouse gas emissions of cow-calf systems in the Flooding Pampas of Argentina," Agricultural Systems, Elsevier, vol. 176(C).
- Nathan Pelletier & Peter Tyedmers, 2011. "An Ecological Economic Critique of the Use of Market Information in Life Cycle Assessment Research," Journal of Industrial Ecology, Yale University, vol. 15(3), pages 342-354, June.
- Becona, Gonzalo & Astigarraga, Laura & Picasso, Valentin D., 2014. "Greenhouse Gas Emissions of Beef Cow-Calf Grazing Systems in Uruguay," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 3(2).
- Rotz, C. Alan & Asem-Hiablie, Senorpe & Place, Sara & Thoma, Greg, 2019. "Environmental footprints of beef cattle production in the United States," Agricultural Systems, Elsevier, vol. 169(C), pages 1-13.
- María I. Nieto & Olivia Barrantes & Liliana Privitello & Ramón Reiné, 2018. "Greenhouse Gas Emissions from Beef Grazing Systems in Semi-Arid Rangelands of Central Argentina," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
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- González-Quintero, Ricardo & van Wijk, Mark T. & Ruden, Alejandro & Gómez, Manuel & Pantevez, Heiber & Castro-Llanos, Fabio & Notenbaert, An & Arango, Jacobo, 2022. "Yield gap analysis to identify attainable milk and meat productivities and the potential for greenhouse gas emissions mitigation in cattle systems of Colombia," Agricultural Systems, Elsevier, vol. 195(C).
- Merida, Vincent Elijiah & Cook, David & Ögmundarson, Ólafur & Davíðsdóttir, Brynhildur, 2022. "Ecosystem services and disservices of meat and dairy production: A systematic literature review," Ecosystem Services, Elsevier, vol. 58(C).
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Keywords
Grass-fed beef; Life cycle assessment; Land use; Greenhouse gas emissions; Energy consumption;All these keywords.
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